FuXi: a cascade machine learning forecasting system for 15-day global weather forecast [PDF]
npj Climate and Atmospheric Science, 2023 Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML models that have superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)’s high ...
Lei Chen +6 more
semanticscholar +1 more source
Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast [PDF]
arXiv.org, 2022 In this paper, we present Pangu-Weather, a deep learning based system for fast and accurate global weather forecast. For this purpose, we establish a data-driven environment by downloading $43$ years of hourly global weather data from the 5th generation ...
Kaifeng Bi +5 more
semanticscholar +1 more source
Forecast combinations: An over 50-year review [PDF]
International Journal of Forecasting, 2022 Forecast combinations have flourished remarkably in the forecasting community and, in recent years, have become part of the mainstream of forecasting research and activities. Combining multiple forecasts produced from single (target) series is now widely
Xiaoqian Wang +3 more
semanticscholar +1 more source
Forecast evaluation for data scientists: common pitfalls and best practices [PDF]
Data mining and knowledge discovery, 2022 Recent trends in the Machine Learning (ML) and in particular Deep Learning (DL) domains have demonstrated that with the availability of massive amounts of time series, ML and DL techniques are competitive in time series forecasting.
Hansika Hewamalage +2 more
semanticscholar +1 more source
Frontiers in Environmental Science, 2023 Based on hourly station precipitation data and ECMWF ERA5 reanalysis data from 2009 to 2019, this paper explores the temporal variations and spatial distribution of short–duration heavy rainfall (SDHR) induced by North China cold vortices (NCCV) over the
Nan Xing +6 more
doaj +1 more source
ANALYSIS OF SUGARCANE ACREAGE AND YIELD ESTIMATES DERIVED FROM REMOTE SENSING DATA AND OTHER HYBRID APPROACHES UNDER FASAL PROJECT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Sugarcane (Saccharum spp.) is a most important cash crop of India. India has the largest area under sugarcane cultivation in the world and is the world’s second largest producer of sugarcane next to Brazil. Uttar Pradesh stands as the leading producer of
N. Sharma +6 more
doaj +1 more source
JUTE CROP PRODUCTION ESTIMATION IN MAJOR STATES OF INDIA: A COMPARATIVE STUDY OF LAST 6 YEARS’ FASAL AND DES ESTIMATES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 In the last few years, remote sensing technique has emerged as a viable technology for crop acreage estimation. Under the FASAL project, the jute acreage estimation was carried out in the last 6 years by using both microwave SAR data (2012–13 to ...
S. Rajpoot +8 more
doaj +1 more source
A Probabilistic Forecast Experiment of Short-duration Heavy Rainfall in Beijing Based on CMA-BJ
应用气象学报, 2023 Based on numerical prediction products from China Meteorological Administration Beijing model (CMA-BJ), precipitation observation of ground weather stations in Beijing and ECMWF ERA5 dataset, the hourly rainfall samples from April to September during ...
Xing Nan +4 more
doaj +1 more source
ANALYSIS OF WHEAT CROP FORECASTS, IN INDIA, GENERATED USING REMOTE SENSING DATA, UNDER FASAL PROJECT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Wheat (Triticum aestivum L.) is a major cereal crop of the world, which plays an important role in global food and nutritional security. In India, wheat grown areas are more as compared to other food crops, except for rice.
S. Kumar +6 more
doaj +1 more source
EVALUATION OF PRE-HARVEST PRODUCTION FORECASTING OF MUSTARD CROP IN MAJOR PRODUCING STATES OF INDIA, UNDER FASAL PROJECT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Rapeseed-mustard (Brassica spp.) is the major rabi oilseed crop of India. India is fourth largest contributor of oilseeds and Rapeseed-mustard contributing to around 11% of world’s total production and about 28.6% in total oilseeds production of the ...
A. Latwal +6 more
doaj +1 more source